Triple
T9431406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocho comedias y ocho entremeses nuevos nunca representados |
E227382
|
entity |
| Predicate | numberOfEntremeses |
P88870
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Ocho comedias y ocho entremeses nuevos nunca representados, numberOfEntremeses, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEntremeses Context triple: [Ocho comedias y ocho entremeses nuevos nunca representados, numberOfEntremeses, 8]
-
A.
servesDish
Indicates that one entity prepares and presents a specific dish as food for another entity.
-
B.
isTypicallyGarnishedWith
Indicates that one item is commonly used as a garnish or decorative finishing element for another.
-
C.
numberOfGreatFeasts
Indicates the total count of great feasts associated with or observed by an entity.
-
D.
eveningMeal
Indicates the relationship in which an entity consumes or participates in a meal that takes place in the evening.
-
E.
feastTraditionalName
Indicates the traditional or customary name by which a particular feast or celebration is known.
- F. None of above. chosen
Provenance (4 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e6059bc8190a7e98aef3caabd0b |
completed | April 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69cca55548488190b171ae695a3212de |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:49 p.m.