Triple
T2198223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crossing Mandelbaum Gate: Coming of Age Between the Arabs and Israelis, 1956–1978 |
E50425
|
entity |
| Predicate | periodCoveredStart |
P35135
|
FINISHED |
| Object | 1956 |
—
|
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: 1956 | Statement: [Crossing Mandelbaum Gate: Coming of Age Between the Arabs and Israelis, 1956–1978, periodCoveredStart, 1956]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodCoveredStart Context triple: [Crossing Mandelbaum Gate: Coming of Age Between the Arabs and Israelis, 1956–1978, periodCoveredStart, 1956]
-
A.
coversPeriodStart
Indicates that the time span or coverage of one entity begins at, or includes, the specified starting point in time of another entity or period.
-
B.
timePeriodCoveredTo
Indicates the span or duration of time that is encompassed, addressed, or relevant to a given subject or entity.
-
C.
startDate
Indicates the point in time when an event, state, or relationship begins.
-
D.
focusPeriodStart
chosen
Indicates the point in time at which a specified focus period or interval begins.
-
E.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbf7b65cc8190bcc5a5c52b90f33b |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbda706f4819094de73e1d1d1f539 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.