Triple
T26614173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awjila |
E668011
|
entity |
| Predicate | locatedInOasisTown |
P106430
|
FINISHED |
| Object | Awjila oasis |
—
|
NE NERFINISHED |
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: Awjila oasis | Statement: [Awjila, locatedInOasisTown, Awjila oasis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInOasisTown Context triple: [Awjila, locatedInOasisTown, Awjila oasis]
-
A.
hasOasisNearby
Indicates that a location or area is situated close to an oasis.
-
B.
hasOasisTown
chosen
Indicates that a location contains or is associated with a town situated around an oasis.
-
C.
locatedInAttractionScene
Indicates that one entity is situated within or is part of the setting or scene of an attraction.
-
D.
connectsToCoastTown
Indicates that one location has a direct connection or route leading to a town situated on the coast.
-
E.
OkamaLocation
Indicates that a location is associated with or designated for okama (cross-dressing or gender-nonconforming) individuals or culture.
- 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 27, 2026, 2:18 a.m.