Triple
T13067986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilocos Sur |
E329377
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Lidlidda
Lidlidda is a small rural municipality in the province of Ilocos Sur in the Philippines, known for its mountainous landscapes and traditional Ilocano culture.
|
E1020786
|
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: Lidlidda | Statement: [Ilocos Sur, hasMunicipality, Lidlidda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lidlidda Context triple: [Ilocos Sur, hasMunicipality, Lidlidda]
-
A.
Ladik
Ladik is a district and town in Turkey’s Black Sea region, known for its natural landscapes, lakes, and winter sports facilities.
-
B.
Lida
Lida is a historic city in present-day western Belarus, known for its medieval castle and former role as a regional center in the Grand Duchy of Lithuania.
-
C.
Lidan
Lidan is a river in southwestern Sweden that flows through the historical province of Västergötland before emptying into Lake Vänern.
-
D.
Fedka
Fedka is a Russian diminutive form of the male given name Fyodor.
-
E.
Lilla
Lilla is a feminine given name, notably borne by American Impressionist painter Lilla Cabot Perry.
- 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: Lidlidda Triple: [Ilocos Sur, hasMunicipality, Lidlidda]
Generated description
Lidlidda is a small rural municipality in the province of Ilocos Sur in the Philippines, known for its mountainous landscapes and traditional Ilocano culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lidlidda Target entity description: Lidlidda is a small rural municipality in the province of Ilocos Sur in the Philippines, known for its mountainous landscapes and traditional Ilocano culture.
-
A.
Ladik
Ladik is a district and town in Turkey’s Black Sea region, known for its natural landscapes, lakes, and winter sports facilities.
-
B.
Lida
Lida is a historic city in present-day western Belarus, known for its medieval castle and former role as a regional center in the Grand Duchy of Lithuania.
-
C.
Lidan
Lidan is a river in southwestern Sweden that flows through the historical province of Västergötland before emptying into Lake Vänern.
-
D.
Fedka
Fedka is a Russian diminutive form of the male given name Fyodor.
-
E.
Lilla
Lilla is a feminine given name, notably borne by American Impressionist painter Lilla Cabot Perry.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ec8ba48190baf52c7823482680 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d603419c8190b8d1726365db59dc |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d943a80c81909bc39b9a9ef303bd |
completed | May 3, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6da1e56388190b536831b2c6d493f |
completed | May 3, 2026, 5:16 a.m. |
Created at: April 9, 2026, 9 p.m.