Triple
T4741696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Saint-Lô |
E105257
|
entity |
| Predicate | dateOfCaptureOfTownByAllies |
P10180
|
FINISHED |
| Object | 1944-07-18 |
—
|
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: 1944-07-18 | Statement: [Battle of Saint-Lô, dateOfCaptureOfTownByAllies, 1944-07-18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfCaptureOfTownByAllies Context triple: [Battle of Saint-Lô, dateOfCaptureOfTownByAllies, 1944-07-18]
-
A.
dateOfCityCapture
chosen
Indicates the specific date on which a city was taken or captured, typically in a military or political context.
-
B.
dateOfAirborneAssault
Indicates the specific calendar date on which an airborne assault operation took place.
-
C.
invasionDate
Indicates the date on which an invasion event occurred or began.
-
D.
countryWhoseCityWasCaptured
Indicates that a country is one whose city was captured, typically in a military or conflict-related context.
-
E.
dateOfVictory
Indicates the specific calendar date on which a victory or winning outcome occurred.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64a7153881909eac451fc7566d25 |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.