Triple
T876099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNDG |
E18920
|
entity |
| Predicate | hadPillar |
P13854
|
FINISHED |
| Object | policy guidance for UN development operations |
—
|
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: policy guidance for UN development operations | Statement: [UNDG, hadPillar, policy guidance for UN development operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPillar Context triple: [UNDG, hadPillar, policy guidance for UN development operations]
-
A.
hadAtrium
Indicates that an entity possessed or included an atrium as part of its structure or design.
-
B.
hadFort
Indicates that an entity possessed, controlled, or contained a fort at some time.
-
C.
hasDam
Indicates that a watercourse, reservoir, or similar feature is impounded or controlled by a specific dam.
-
D.
has
chosen
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
E.
hadEstate
Indicates that an entity possessed or owned a particular estate or landed property.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acaf30a48190a10ed7fee464c444 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8d47c081909b02a53e305ccf7a |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.