Triple
T35876794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Gordon Street |
E1037387
|
entity |
| Predicate | hasNotableSquareAlong |
P206085
|
FINISHED |
| Object | Monterey Square |
E248560
|
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: Monterey Square | Statement: [West Gordon Street, hasNotableSquareAlong, Monterey Square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSquareAlong Context triple: [West Gordon Street, hasNotableSquareAlong, Monterey Square]
-
A.
hasCheckOnKings
Indicates that one player’s move currently places the opposing king in check.
-
B.
hasNotableQueen
Indicates that an entity is associated with a queen who is particularly famous, historically significant, or otherwise notable.
-
C.
hasBishop
Indicates that one entity possesses, is assigned, or is associated with a bishop in relation to another entity.
-
D.
hasKing
Indicates that an entity possesses or is ruled by a king.
-
E.
hasFirstBishop
Indicates that an entity is associated with a specific bishop who is designated as its first bishop in a sequence or hierarchy.
- F. None of above. chosen
Provenance (5 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38ae1f88bc8190b8a5754b081061e8 |
completed | June 22, 2026, 3:38 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037ce53de881908cf14141cf3bc570 |
completed | May 12, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:06 p.m.