Triple
T2375901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cebu |
E46197
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Catmon
Catmon is a coastal municipality in the province of Cebu in the Philippines, known for its rural landscapes, beaches, and agricultural communities.
|
E261540
|
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: Catmon | Statement: [Cebu, hasPart, Catmon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catmon Context triple: [Cebu, hasPart, Catmon]
-
A.
Munnik
Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
-
B.
Barmedman
Barmedman is a small rural town in the Riverina region of New South Wales, Australia, known historically for its wheat farming and mineral springs.
-
C.
Grimus
Grimus is Salman Rushdie’s debut novel, a genre-blending work of science fiction and fantasy that explores themes of identity, immortality, and exile.
-
D.
Catreus
Catreus is a figure in Greek mythology, a son of King Minos of Crete whose tragic fate is tied to a prophecy that he would be killed by one of his own children.
-
E.
Catbells
Catbells is a popular, modest fell in England’s Lake District known for its scenic views over Derwentwater and accessibility to walkers of all abilities.
- 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: Catmon Triple: [Cebu, hasPart, Catmon]
Generated description
Catmon is a coastal municipality in the province of Cebu in the Philippines, known for its rural landscapes, beaches, and agricultural communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Catmon Target entity description: Catmon is a coastal municipality in the province of Cebu in the Philippines, known for its rural landscapes, beaches, and agricultural communities.
-
A.
Munnik
Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
-
B.
Barmedman
Barmedman is a small rural town in the Riverina region of New South Wales, Australia, known historically for its wheat farming and mineral springs.
-
C.
Grimus
Grimus is Salman Rushdie’s debut novel, a genre-blending work of science fiction and fantasy that explores themes of identity, immortality, and exile.
-
D.
Catreus
Catreus is a figure in Greek mythology, a son of King Minos of Crete whose tragic fate is tied to a prophecy that he would be killed by one of his own children.
-
E.
Catbells
Catbells is a popular, modest fell in England’s Lake District known for its scenic views over Derwentwater and accessibility to walkers of all abilities.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc794eee481908163148e1e666d9b |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8ac3e80819099065f874f9dc25d |
completed | March 9, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69aeabd9a5a08190a2c6699576e36c46 |
completed | March 9, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aead3299c88190af03577eef126387 |
completed | March 9, 2026, 11:21 a.m. |
Created at: March 4, 2026, 7:57 p.m.