Triple
T24063982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harb al-Miaw Yawm |
E596035
|
entity |
| Predicate | hasDurationCharacteristic |
P154713
|
FINISHED |
| Object | brief but intense urban fighting |
—
|
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: brief but intense urban fighting | Statement: [Harb al-Miaw Yawm, hasDurationCharacteristic, brief but intense urban fighting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDurationCharacteristic Context triple: [Harb al-Miaw Yawm, hasDurationCharacteristic, brief but intense urban fighting]
-
A.
hasDurationType
Indicates that something is associated with a specific kind or category of duration (e.g., temporary, permanent, short-term, long-term).
-
B.
hasOfficialDuration
Indicates the formally defined length of time associated with an event, process, or entity.
-
C.
hasTypicalPerformanceDuration
Indicates the usual or expected length of time that a performance or activity typically lasts.
-
D.
possibleDuration
Indicates the range or specific length of time that an action, event, or state can last or is allowed to last.
-
E.
hasApproximateDuration
Indicates that one entity has a duration that is estimated or not exact, typically expressed as an approximate length of time.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da598dec8190a625309fd8f10f1d |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:39 p.m.