Triple
T6020477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fars |
E134049
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Lar
Lar is a historic city in Iran’s Fars Province, known for its traditional architecture and role as a regional commercial center.
|
E562224
|
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: Lar | Statement: [Fars, majorCity, Lar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lar Context triple: [Fars, majorCity, Lar]
-
A.
Larrelt
Larrelt is a district of the German seaport city of Emden in Lower Saxony.
-
B.
Lari
Lari is a regional dialect of the Sindhi language spoken primarily in parts of Sindh, Pakistan.
-
C.
Laz
Laz is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the southeastern Black Sea coast, particularly in northeastern Turkey and parts of Georgia.
-
D.
Lai
Lai is a variant spelling of the Chinese surname Li, commonly found in Chinese-speaking communities and their diasporas.
-
E.
Laur
Laur is a rural municipality in the province of Nueva Ecija in the Philippines, known for its agricultural landscape and proximity to the Sierra Madre mountain range.
- 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: Lar Triple: [Fars, majorCity, Lar]
Generated description
Lar is a historic city in Iran’s Fars Province, known for its traditional architecture and role as a regional commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lar Target entity description: Lar is a historic city in Iran’s Fars Province, known for its traditional architecture and role as a regional commercial center.
-
A.
Larrelt
Larrelt is a district of the German seaport city of Emden in Lower Saxony.
-
B.
Lari
Lari is a regional dialect of the Sindhi language spoken primarily in parts of Sindh, Pakistan.
-
C.
Laz
Laz is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the southeastern Black Sea coast, particularly in northeastern Turkey and parts of Georgia.
-
D.
Lai
Lai is a variant spelling of the Chinese surname Li, commonly found in Chinese-speaking communities and their diasporas.
-
E.
Laur
Laur is a rural municipality in the province of Nueva Ecija in the Philippines, known for its agricultural landscape and proximity to the Sierra Madre mountain range.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fba86a48190984e95d5adf7c7f1 |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108be2170819084b4b940e52b0185 |
completed | March 23, 2026, 9:32 a.m. |
| NEDg | Description generation | batch_69c10abc9aa08190acf1ced6a8be322e |
completed | March 23, 2026, 9:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10b5c118c8190aaf5461c40472022 |
completed | March 23, 2026, 9:43 a.m. |
Created at: March 22, 2026, 4:07 p.m.