Triple
T4571047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tangshan |
E123029
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Luan County
Luan County is an administrative county under the jurisdiction of Tangshan City in Hebei Province, northeastern China.
|
E454158
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Luan County | Statement: [Tangshan, hasSubdivision, Luan County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luan County Context triple: [Tangshan, hasSubdivision, Luan County]
-
A.
Luanping County
Luanping County is a county in Hebei Province, China, known for encompassing the famous Jinshanling section of the Great Wall.
-
B.
Lofa County
Lofa County is a region in northern Liberia known for its ethnic diversity, agricultural production, and its significant role in the country's civil conflicts.
-
C.
Wei County
Wei County is an administrative county under the jurisdiction of Handan City in Hebei Province, northern China.
-
D.
Dawu County
Dawu County is a county-level administrative region under the jurisdiction of Xiaogan City in Hubei Province, China, known for its rural landscapes and agricultural economy.
-
E.
Gaolan County
Gaolan County is an administrative county under the jurisdiction of Lanzhou in Gansu Province, China, known for its agricultural production and location along the Yellow River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Luan County Triple: [Tangshan, hasSubdivision, Luan County]
Generated description
Luan County is an administrative county under the jurisdiction of Tangshan City in Hebei Province, northeastern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luan County Target entity description: Luan County is an administrative county under the jurisdiction of Tangshan City in Hebei Province, northeastern China.
-
A.
Luanping County
Luanping County is a county in Hebei Province, China, known for encompassing the famous Jinshanling section of the Great Wall.
-
B.
Lofa County
Lofa County is a region in northern Liberia known for its ethnic diversity, agricultural production, and its significant role in the country's civil conflicts.
-
C.
Wei County
Wei County is an administrative county under the jurisdiction of Handan City in Hebei Province, northern China.
-
D.
Dawu County
Dawu County is a county-level administrative region under the jurisdiction of Xiaogan City in Hubei Province, China, known for its rural landscapes and agricultural economy.
-
E.
Gaolan County
Gaolan County is an administrative county under the jurisdiction of Lanzhou in Gansu Province, China, known for its agricultural production and location along the Yellow River.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c5afa48190bb8505e2cc16e89f |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3cf5e10819099b2927c6f571673 |
completed | March 20, 2026, 11:10 p.m. |
| NEDg | Description generation | batch_69bdd7f1efd0819089410e63f853175b |
completed | March 20, 2026, 11:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdd86be2c48190af8011a983f26b0d |
completed | March 20, 2026, 11:29 p.m. |
Created at: March 20, 2026, 1:10 p.m.