Triple
T18824703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tara Tower |
E460353
|
entity |
| Predicate | positionRelativeToBridge |
P133549
|
FINISHED |
| Object | one of two towers flanking the Old Bridge |
—
|
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: one of two towers flanking the Old Bridge | Statement: [Tara Tower, positionRelativeToBridge, one of two towers flanking the Old Bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToBridge Context triple: [Tara Tower, positionRelativeToBridge, one of two towers flanking the Old Bridge]
-
A.
bridgePosition
Indicates the spatial or structural position of a bridge relative to other referenced elements or locations.
-
B.
positionRelativeToBuilding
Indicates the spatial relationship of an entity’s location with respect to a specific building (e.g., in front of, behind, adjacent to, on top of).
-
C.
positionRelativeToTower
Indicates the spatial relationship or placement of an entity with respect to a specified tower.
-
D.
previousBridgeLocation
Indicates that one location served as the earlier or former site of a bridge relative to another referenced location or time.
-
E.
bridgeLocation
Indicates the specific place or area where a bridge is situated or spans.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bdefac8190892d6fd5c20a431e |
completed | April 20, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:56 a.m.