Triple
T20988079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durian Capital of the Philippines |
E516943
|
entity |
| Predicate | associatedFruit |
P15977
|
FINISHED |
| Object | durian |
—
|
LITERAL FINISHED |
How this triple was built (2 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: durian | Statement: [Durian Capital of the Philippines, associatedFruit, durian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedFruit Context triple: [Durian Capital of the Philippines, associatedFruit, durian]
-
A.
fruitAdheresTo
Indicates that a fruit is physically attached or sticks to another surface or object.
-
B.
fruitCommonName
Indicates the commonly used everyday name by which a fruit is known.
-
C.
nationalFruit
Indicates that a particular fruit is officially designated as the national fruit of a country or region.
-
D.
hasFruitType
chosen
Indicates that an entity possesses or is associated with a specific type or category of fruit.
-
E.
fruitEnclosure
Indicates a relationship where an enclosure, container, or structure is specifically used to hold, protect, or surround fruit.
- F. None of above.
Provenance (3 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe5208c8190b8b843b3778589d3 |
completed | April 21, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:49 p.m.