Triple
T27904223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulu Province |
E705722
|
entity |
| Predicate | hasTraditionalWeapon |
P7745
|
FINISHED |
| Object | barong sword |
—
|
NE NERFINISHED |
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: barong sword | Statement: [Sulu Province, hasTraditionalWeapon, barong sword]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalWeapon Context triple: [Sulu Province, hasTraditionalWeapon, barong sword]
-
A.
usedWeapon
Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
-
B.
hasWeaponForm
Indicates that one entity takes the form of, or is manifested as, a particular weapon.
-
C.
hasWeaponType
Indicates that an entity is associated with or equipped with a specific type or category of weapon.
-
D.
typicalWeapon
chosen
Indicates that the object is a weapon commonly or characteristically used by the subject.
-
E.
hasHumanBuiltWeapon
Indicates that an entity possesses, controls, or is equipped with a weapon that has been constructed or manufactured by humans.
- 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_69ef96b5aad08190be36a277c31e7004 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 27, 2026, 6:44 p.m.