Triple
T17088563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Bay San Diego |
E414663
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nestor |
E810478
|
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: Nestor | Statement: [South Bay San Diego, contains, Nestor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nestor Context triple: [South Bay San Diego, contains, Nestor]
-
A.
Nestor
Nestor is the wise and elderly king of Pylos in Greek mythology, renowned for his counsel to heroes in Homer's epics.
-
B.
Nestor
Nestor is the second episode of James Joyce’s novel "Ulysses," focusing on Stephen Dedalus’s morning teaching at a boys’ school and his reflections on history and authority.
-
C.
Nestor
Nestor is a genus of large, intelligent New Zealand parrots that includes species such as the kea and the kaka.
-
D.
Nestor
Nestor is the loyal and unflappable butler of Marlinspike Hall in Hergé’s "The Adventures of Tintin" series.
-
E.
Nestor
chosen
Nestor is a residential neighborhood in the southern part of San Diego, California, located near the U.S.–Mexico border.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe92e488190b947287a968086d5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee81fd08190a7e1f5958fbe3b97 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.