Triple
T19757723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston Parks and Recreation Department |
E474544
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
HPARD
HPARD is the municipal agency responsible for managing and maintaining the public parks, recreation centers, and green spaces in the city of Houston, Texas.
|
E1394561
|
NE FINISHED |
How this triple was built (4 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: HPARD | Statement: [Houston Parks and Recreation Department, alsoKnownAs, HPARD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HPARD Context triple: [Houston Parks and Recreation Department, alsoKnownAs, HPARD]
-
A.
HP
HP is the vehicle registration code used on motor vehicles registered in the Indian state of Himachal Pradesh.
-
B.
HP
HP is a postcode area in the United Kingdom covering High Wycombe and surrounding parts of Buckinghamshire and nearby counties.
-
C.
HP
HP was the IATA airline designator code assigned to the now-defunct U.S. carrier America West Airlines.
-
D.
HP
HP is the vehicle registration code used on license plates for the town of Hirschhorn am Neckar in Germany.
-
E.
Hewlett-Packard
Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: HPARD Triple: [Houston Parks and Recreation Department, alsoKnownAs, HPARD]
Generated description
HPARD is the municipal agency responsible for managing and maintaining the public parks, recreation centers, and green spaces in the city of Houston, Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HPARD Target entity description: HPARD is the municipal agency responsible for managing and maintaining the public parks, recreation centers, and green spaces in the city of Houston, Texas.
-
A.
HP
HP is the vehicle registration code used on motor vehicles registered in the Indian state of Himachal Pradesh.
-
B.
HP
HP is a postcode area in the United Kingdom covering High Wycombe and surrounding parts of Buckinghamshire and nearby counties.
-
C.
HP
HP was the IATA airline designator code assigned to the now-defunct U.S. carrier America West Airlines.
-
D.
HP
HP is the vehicle registration code used on license plates for the town of Hirschhorn am Neckar in Germany.
-
E.
Hewlett-Packard
Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
- F. None of above. chosen
Provenance (5 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6531c42408190b856341a6c6a4101 |
completed | April 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd69f9a481909c82253039af1ec1 |
completed | May 16, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_6a07be1380608190b1efcd97a4bd0c15 |
completed | May 16, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07bfb095b08190a23710cf78a2b923 |
completed | May 16, 2026, 12:52 a.m. |
Created at: April 10, 2026, 1:48 p.m.