Triple
T13738461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuluwat Island |
E330014
|
entity |
| Predicate | hasLandReturnYear |
P35087
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Tuluwat Island, hasLandReturnYear, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandReturnYear Context triple: [Tuluwat Island, hasLandReturnYear, 2004]
-
A.
hasLandStatus
Indicates that an entity possesses a particular legal or administrative status regarding land (such as ownership, tenure, protection, or use designation).
-
B.
returnYear
chosen
Indicates the year in which something is returned or given back to its original owner, place, or state.
-
C.
hasAncestralLand
Indicates that an entity possesses land inherited from its ancestors or traditionally associated with its lineage.
-
D.
landingYear
Indicates the year in which a landing event (such as an arrival or touchdown) took place.
-
E.
hasLandCoverage
Indicates that a specified area or region is covered or occupied by a particular type of land surface or land use.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0204d50c8190a5413cc9a1b26e14 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.