Triple
T284099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sustainable Development Goals |
E5850
|
entity |
| Predicate | numberOfTargets |
P9099
|
FINISHED |
| Object | 169 |
—
|
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: 169 | Statement: [Sustainable Development Goals, numberOfTargets, 169]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTargets Context triple: [Sustainable Development Goals, numberOfTargets, 169]
-
A.
numberOfTowers
Indicates the quantity of towers associated with or contained by a given entity.
-
B.
numberOfTanks
Indicates the quantity or count of tanks associated with a given entity or context.
-
C.
numberOfInvaders
Indicates the quantity of entities classified as invaders associated with a given subject or context.
-
D.
numberOfPositions
Indicates the total count of distinct positions or roles associated with a given entity.
-
E.
numberOfTerminals
Indicates the total count of terminal points or endpoints associated with an entity.
- F. None of above. chosen
Provenance (4 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e0d789881908d6a9a8d6a0d4a6c |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b795a6c8190944d48e8418e0ccd |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c4b773c81908f1017f40b0bfd07 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.