Triple
T12504757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cagayan |
E298919
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Lasam
Lasam is a municipality in the province of Cagayan in the Cagayan Valley region of the Philippines.
|
E986709
|
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: Lasam | Statement: [Cagayan, hasCity, Lasam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lasam Context triple: [Cagayan, hasCity, Lasam]
-
A.
Pastida
Pastida is a small village on the Greek island of Rhodes, situated inland near the town of Ialysos and known for its traditional character and proximity to the island’s main tourist areas.
-
B.
Sarma
Sarma is a traditional dish of vine or cabbage leaves wrapped around a savory filling, commonly enjoyed throughout Turkish and other Balkan and Middle Eastern cuisines.
-
C.
Larvotto
Larvotto is a coastal district of Monaco known for its popular beach, luxury residences, and upscale leisure facilities.
-
D.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
E.
Paippalada
Paippalada is one of the principal ancient recensions (śākhās) of the Atharvaveda, preserved mainly in the Paippalāda tradition of Vedic scholarship.
- 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: Lasam Triple: [Cagayan, hasCity, Lasam]
Generated description
Lasam is a municipality in the province of Cagayan in the Cagayan Valley region of the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lasam Target entity description: Lasam is a municipality in the province of Cagayan in the Cagayan Valley region of the Philippines.
-
A.
Pastida
Pastida is a small village on the Greek island of Rhodes, situated inland near the town of Ialysos and known for its traditional character and proximity to the island’s main tourist areas.
-
B.
Sarma
Sarma is a traditional dish of vine or cabbage leaves wrapped around a savory filling, commonly enjoyed throughout Turkish and other Balkan and Middle Eastern cuisines.
-
C.
Larvotto
Larvotto is a coastal district of Monaco known for its popular beach, luxury residences, and upscale leisure facilities.
-
D.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
E.
Paippalada
Paippalada is one of the principal ancient recensions (śākhās) of the Atharvaveda, preserved mainly in the Paippalāda tradition of Vedic scholarship.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfddf38819099263b8b1e804736 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb5af708190b3786da334c3bf23 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64ce1b0ec8190bcbd245255e548b5 |
completed | May 2, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64da735f48190b051ce173c13e5b2 |
completed | May 2, 2026, 7:16 p.m. |
Created at: April 8, 2026, 9:57 p.m.