Triple
T4685447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamban Bridge |
E103909
|
entity |
| Predicate | hasCantileverSection |
P17089
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Pamban Bridge, hasCantileverSection, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCantileverSection Context triple: [Pamban Bridge, hasCantileverSection, yes]
-
A.
hasBridgeSection
chosen
Indicates that one entity includes or is associated with a specific bridge section as a distinct part or component.
-
B.
hasCentralSection
Indicates that an entity possesses a distinct middle or central part within its overall structure or composition.
-
C.
hasCeilingShape
Indicates that an entity is characterized by or associated with a particular shape of its ceiling.
-
D.
hasCanalSection
Indicates a relationship where one entity includes, contains, or is associated with a specific section or segment of a canal.
-
E.
hasMezzanine
Indicates that one entity includes or is equipped with a mezzanine level in relation to another entity.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.