Triple
T24031114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Pozo del Tío Raimundo station |
E595106
|
entity |
| Predicate | numberOfInjuredInAttack |
P63693
|
FINISHED |
| Object | about 100 |
—
|
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: about 100 | Statement: [El Pozo del Tío Raimundo station, numberOfInjuredInAttack, about 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfInjuredInAttack Context triple: [El Pozo del Tío Raimundo station, numberOfInjuredInAttack, about 100]
-
A.
numberOfPeopleInjuredInBombings
Indicates the count of individuals who were injured as a result of bombing incidents.
-
B.
numberOfVictimsInjured
chosen
Indicates the count of victims who sustained injuries as a result of the event or incident.
-
C.
numberOfFatalitiesIn2011Attack
Indicates the count of people who were killed as a result of the 2011 attack.
-
D.
numberOfVictimsFrom2001Attacks
Indicates the count of victims resulting from the 2001 attacks associated with a given entity.
-
E.
numberOfFatalitiesIn2018Attack
Indicates the number of people who were killed in the attack that occurred in 2018.
- 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d7709e5881908f5d4c0dd9f818c9 |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:55 p.m.