Triple
T26792256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariel Sharon bore personal responsibility for ignoring the danger of a massacre |
E670548
|
entity |
| Predicate | relatesToCity |
P118770
|
FINISHED |
| Object | Beirut |
—
|
NE NERFINISHED |
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: Beirut | Statement: [Ariel Sharon bore personal responsibility for ignoring the danger of a massacre, relatesToCity, Beirut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatesToCity Context triple: [Ariel Sharon bore personal responsibility for ignoring the danger of a massacre, relatesToCity, Beirut]
-
A.
refersToCityOn
Indicates that one entity makes reference to, or is specifically about, a particular city located on a given date or temporal context.
-
B.
refersToCityAs
Indicates that one entity designates, mentions, or identifies another entity specifically as a city.
-
C.
connectsToCityBy
Indicates that one entity is linked or has a direct connection to a specific city, such as through infrastructure, routes, or established relations.
-
D.
relevanceToCity
chosen
Indicates that something has a meaningful connection, impact, or applicability to a particular city.
-
E.
hasRelativePositionInCity
Indicates that one entity occupies a specific spatial or positional relationship within the boundaries or layout of a particular city.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69feced53a7c819098ec474fb7d514b0 |
completed | May 9, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69fecd9cd5288190aac8b4e04a7ee78e |
completed | May 9, 2026, 6:01 a.m. |
Created at: April 27, 2026, 4:17 a.m.