Triple
T8886009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fragata Sarmiento museum ship |
E211532
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Dique 3 |
E220360
|
NE 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: Dique 3 | Statement: [Fragata Sarmiento museum ship, locatedOn, Dique 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dique 3 Context triple: [Fragata Sarmiento museum ship, locatedOn, Dique 3]
-
A.
Dique 3
chosen
Dique 3 is one of the dock basins in Buenos Aires’ redeveloped Puerto Madero waterfront district, now surrounded by modern residential, commercial, and leisure spaces.
-
B.
Dique 4
Dique 4 is one of the renovated dock basins in Buenos Aires’ upscale Puerto Madero waterfront district, now surrounded by modern residential, commercial, and leisure developments.
-
C.
Dique 2
Dique 2 is one of the renovated dock basins in Buenos Aires’ Puerto Madero district, now surrounded by modern offices, restaurants, and residential developments along the waterfront.
-
D.
Dique 1
Dique 1 is one of the renovated dock basins in Buenos Aires’ Puerto Madero district, now surrounded by modern residential, commercial, and leisure developments along the waterfront.
-
E.
Secunda
Secunda is a South African industrial town in Mpumalanga province, best known for its large coal-to-liquid fuel and petrochemical operations centered around Sasol’s facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618bd30881909e54d0708f144786 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabd9971c81909d1437a52e906813 |
completed | April 3, 2026, noon |
Created at: March 30, 2026, 6:53 p.m.