Triple
T5522003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple Street (New Haven) |
E144830
|
entity |
| Predicate | hasOrientationRelativeTo |
P42535
|
FINISHED |
| Object | alongside New Haven Green |
—
|
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: alongside New Haven Green | Statement: [Temple Street (New Haven), hasOrientationRelativeTo, alongside New Haven Green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrientationRelativeTo Context triple: [Temple Street (New Haven), hasOrientationRelativeTo, alongside New Haven Green]
-
A.
hasOrientation
Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
-
B.
hasRegionalOrientation
Indicates that an entity is oriented toward, focused on, or primarily associated with a specific geographic region.
-
C.
hasRelativeLocation
Indicates that one entity is positioned in space in relation to another entity’s location.
-
D.
hasFieldOrientation
Indicates that one entity has a specified directional or spatial orientation relative to a field (such as magnetic, electric, or visual field).
-
E.
positionedRelativeTo
chosen
Indicates that one entity’s spatial location is defined or described in relation to the position of 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f7227a8819080c9f074afe0eaac |
completed | March 22, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69c01b0a06348190b39ac9fe80d2836a |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.