Triple
T707864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Trade Center (reconstructed complex) |
E14139
|
entity |
| Predicate | memorialPoolsLocatedIn |
P19040
|
FINISHED |
| Object | footprints of original Twin Towers |
—
|
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: footprints of original Twin Towers | Statement: [World Trade Center (reconstructed complex), memorialPoolsLocatedIn, footprints of original Twin Towers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorialPoolsLocatedIn Context triple: [World Trade Center (reconstructed complex), memorialPoolsLocatedIn, footprints of original Twin Towers]
-
A.
memorialOpenedInYear
Indicates that a memorial was officially opened or inaugurated in a specified calendar year.
-
B.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
C.
memorialOpeningDate
Indicates the calendar date on which a memorial was formally opened or inaugurated.
-
D.
hasAdjacentMemorial
Indicates that one memorial is located directly next to or in close proximity to another memorial.
-
E.
memorialType
Indicates the specific kind or category of memorial associated with an entity (e.g., plaque, statue, monument).
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c011948190b2cfccd8fe722742 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f0217081908268b3f47e72f8df |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a5bed20c81909ecc28bf42594e72 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:36 p.m.