Triple
T2924352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salamanca Market |
E78806
|
entity |
| Predicate | hasApproximateNumberOfStalls |
P5785
|
FINISHED |
| Object | 300 |
—
|
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: 300 | Statement: [Salamanca Market, hasApproximateNumberOfStalls, 300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfStalls Context triple: [Salamanca Market, hasApproximateNumberOfStalls, 300]
-
A.
numberOfStalls
Indicates the quantity of stalls associated with or contained within a given entity or location.
-
B.
hasEstimatedNumberOfBunkers
Indicates that an entity is associated with an approximate or estimated count of bunkers.
-
C.
numberOfStations
Indicates the total count of stations associated with or contained by a given entity.
-
D.
hasNumberOfEntrances
Indicates the relationship that specifies how many entrances an entity possesses.
-
E.
hasApproximateVendorCount
chosen
Indicates that an entity is associated with an estimated or non-exact number of vendors.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9603ddd88190b8bf91bc7517cc21 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:55 p.m.