Triple
T20069559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Quezon |
E499696
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Macalelon
Macalelon is a coastal municipality in the province of Quezon in the Philippines, known for its agricultural economy and rural seaside communities.
|
E1410567
|
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: Macalelon | Statement: [Province of Quezon, hasMunicipality, Macalelon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macalelon Context triple: [Province of Quezon, hasMunicipality, Macalelon]
-
A.
Marcross
Marcross is a small coastal village in the Vale of Glamorgan, Wales, known for its rural character and proximity to the Bristol Channel.
-
B.
Mainleus
Mainleus is a municipality in the Bavarian region of Germany, known for its rural character and location within the Upper Franconia area.
-
C.
MacClymont
MacClymont is a Scottish surname associated as a sept with Clan Lamont, a historic Highland clan from Argyll.
-
D.
Lesath
Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
-
E.
Velitrae
Velitrae is an ancient town in Latium, Italy, historically notable as the birthplace of the future Roman emperor Augustus (Gaius Octavius).
- 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: Macalelon Triple: [Province of Quezon, hasMunicipality, Macalelon]
Generated description
Macalelon is a coastal municipality in the province of Quezon in the Philippines, known for its agricultural economy and rural seaside communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Macalelon Target entity description: Macalelon is a coastal municipality in the province of Quezon in the Philippines, known for its agricultural economy and rural seaside communities.
-
A.
Marcross
Marcross is a small coastal village in the Vale of Glamorgan, Wales, known for its rural character and proximity to the Bristol Channel.
-
B.
Mainleus
Mainleus is a municipality in the Bavarian region of Germany, known for its rural character and location within the Upper Franconia area.
-
C.
MacClymont
MacClymont is a Scottish surname associated as a sept with Clan Lamont, a historic Highland clan from Argyll.
-
D.
Lesath
Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
-
E.
Velitrae
Velitrae is an ancient town in Latium, Italy, historically notable as the birthplace of the future Roman emperor Augustus (Gaius Octavius).
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664365ad0819089103b00d1cf8c9f |
completed | April 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f3acb7881908e23b1d066c35051 |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a081fbb7f208190a032f9f312fd07de |
completed | May 16, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08208c203c819083abea34d10d5e4e |
completed | May 16, 2026, 7:45 a.m. |
Created at: April 11, 2026, 3:39 p.m.